Disaggregated RAN Telemetry Routing for Adaptive Configuration
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Solution Overview
Problem
Current wireless data networks, particularly 5G and beyond, face challenges in efficiently managing and transmitting large volumes of data due to the disaggregation of radio access network components, leading to increased complexity and reduced transmission rates.
Innovation Solution
Implementing a managed message bus system as a decoupled communication layer between data producers and consumers in disaggregated RAN systems, enabling scalable, low-latency, and high-throughput data transmission, with robust topic governance to ensure relevant data is routed efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If data is centralized in traditional wireless networks, then data management is simplified, but transmission speed and network responsiveness deteriorate due to distance and congestion
Solution Approach 1:
The patent segments the centralized data management architecture into distributed edge computing nodes. Data is processed and managed at multiple edge locations rather than being funneled through a single central point, reducing transmission distances and improving speed while maintaining organized data management through standardized protocols at each edge node.
Solution Approach 2:
The patent introduces a spatial dimension to data management by distributing computing resources across multiple geographic locations (edge nodes). This transforms the traditional single-point centralized management into a multi-dimensional distributed architecture, allowing data to be managed closer to where it is generated and consumed.
2Adaptability or versatility
If radio access network components are disaggregated, then network flexibility and scalability improve, but system complexity and data routing challenges increase
Solution Approach 1:
The patent introduces standardized data buses and communication protocols as intermediary layers between disaggregated RAN components. These intermediaries provide uniform interfaces and routing mechanisms, allowing flexible component configuration without increasing overall system complexity, as the standardization layer abstracts the complexity management.
3Reliability
If large volumes of data are transmitted through centralized networks, then comprehensive data processing is achieved, but transmission latency and bandwidth consumption increase
Solution Approach 1:
The patent extracts data processing functions from the centralized core network and places them at distributed edge nodes. Critical data processing occurs locally at the edge where data is generated, eliminating the need to transmit all data volumes through the centralized network. Only aggregated results or essential data need centralized processing, reducing latency while maintaining processing completeness.
Data Source
AI summary
A computer-implemented method is disclosed for telemetry-driven orchestration in a next-generation cellular network. The method includes instantiating, via one or more processors, a message bus logically associated with a telemetry producer comprising a plurality of individually managed sub-producers. Each sub-producer generates telemetry data, a subset of which is forwarded to a radio access network intelligent controller (RIC) based on data type classification. The method further includes transmitting first and second telemetry data of the same type from respective sub-producers to the RIC via the message bus. Based on the received telemetry, the RIC generates a recommendation for altering components of the system. The method then generates configuration instructions defining one or more operational parameters and applies those instructions to transition at least one operational parameter from an initial state to a revised state. This enables adaptive, data-driven network optimization through automated configuration updates informed by real-time telemetry analysis.